Landslide hazard assessment by climatic events in the basin of Quebrada El Rosario – Manizales using application ALICE ®

ilustraciones, gráficas, tablas

Autores:: Grajales García, Jhon Alexander

Tipo de recurso:

Fecha de publicación:: 2021

Institución:: Universidad Nacional de Colombia

Repositorio:: Universidad Nacional de Colombia

Idioma:: eng

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dc.title.eng.fl_str_mv	Landslide hazard assessment by climatic events in the basin of Quebrada El Rosario – Manizales using application ALICE ®
dc.title.translated.spa.fl_str_mv	Evaluación de amenaza por deslizamiento por eventos climáticos en la cuenca de la Quebrada El Rosario - Manizales, usando la aplicación ALICE ®
title	Landslide hazard assessment by climatic events in the basin of Quebrada El Rosario – Manizales using application ALICE ®
spellingShingle	Landslide hazard assessment by climatic events in the basin of Quebrada El Rosario – Manizales using application ALICE ® 620 - Ingeniería y operaciones afines::624 - Ingeniería civil Geophysical prediction Coulees Predicciones geofísicas Cañadas Hazard Mapping Landslides Mass movements Amenaza Zonificación Deslizamientos Movimientos en masa Deslizamiento de tierra Landslides
title_short	Landslide hazard assessment by climatic events in the basin of Quebrada El Rosario – Manizales using application ALICE ®
title_full	Landslide hazard assessment by climatic events in the basin of Quebrada El Rosario – Manizales using application ALICE ®
title_fullStr	Landslide hazard assessment by climatic events in the basin of Quebrada El Rosario – Manizales using application ALICE ®
title_full_unstemmed	Landslide hazard assessment by climatic events in the basin of Quebrada El Rosario – Manizales using application ALICE ®
title_sort	Landslide hazard assessment by climatic events in the basin of Quebrada El Rosario – Manizales using application ALICE ®
dc.creator.fl_str_mv	Grajales García, Jhon Alexander
dc.contributor.advisor.spa.fl_str_mv	Rodríguez Pineda, Carlos Eduardo
dc.contributor.author.spa.fl_str_mv	Grajales García, Jhon Alexander
dc.contributor.researchgroup.spa.fl_str_mv	Grupo de Investigación en Geotecnia Gigun
dc.subject.ddc.spa.fl_str_mv	620 - Ingeniería y operaciones afines::624 - Ingeniería civil
topic	620 - Ingeniería y operaciones afines::624 - Ingeniería civil Geophysical prediction Coulees Predicciones geofísicas Cañadas Hazard Mapping Landslides Mass movements Amenaza Zonificación Deslizamientos Movimientos en masa Deslizamiento de tierra Landslides
dc.subject.lemb.eng.fl_str_mv	Geophysical prediction Coulees
dc.subject.lemb.spa.fl_str_mv	Predicciones geofísicas Cañadas
dc.subject.proposal.eng.fl_str_mv	Hazard Mapping Landslides Mass movements
dc.subject.proposal.spa.fl_str_mv	Amenaza Zonificación Deslizamientos Movimientos en masa
dc.subject.unesco.spa.fl_str_mv	Deslizamiento de tierra
dc.subject.unesco.eng.fl_str_mv	Landslides
description	ilustraciones, gráficas, tablas
publishDate	2021
dc.date.accessioned.none.fl_str_mv	2021-12-10T17:15:39Z
dc.date.available.none.fl_str_mv	2021-12-10T17:15:39Z
dc.date.issued.none.fl_str_mv	2021-12-07
dc.type.spa.fl_str_mv	Trabajo de grado - Maestría
dc.type.driver.spa.fl_str_mv	info:eu-repo/semantics/masterThesis
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dc.type.content.spa.fl_str_mv	Text
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status_str	acceptedVersion
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dc.identifier.instname.spa.fl_str_mv	Universidad Nacional de Colombia
dc.identifier.reponame.spa.fl_str_mv	Repositorio Institucional Universidad Nacional de Colombia
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url	https://repositorio.unal.edu.co/handle/unal/80771 https://repositorio.unal.edu.co/
identifier_str_mv	Universidad Nacional de Colombia Repositorio Institucional Universidad Nacional de Colombia
dc.language.iso.spa.fl_str_mv	eng
language	eng
dc.relation.references.spa.fl_str_mv	Álvarez, A. J. (1983). Geología de la Coordillera Central y el Occidente Colombiano y Petroquímica de los Intrusivos Granitoides Mesocenozoicos. Boletín Geológico - Ingeominas, 26(2), 1–175. APA. (2020). Publication Manual of the American Psychological Association. In The International Journal for Research in Education (7th ed., Vol. 44, Issue 3). American Psychological Association. https://doi.org/10.36771/ijre.44.3.20-pp352-356 Arcila, M. M., García, J., Montejo, J. S., Eraso, J. F., Valcárcel, J. A., Mora, M. G., Viganò, D., Pagani, M., & Díaz, F. (2020). Modelo nacional de amenaza sísmica para Colombia. In Modelo nacional de amenaza sísmica para Colombia. Servicio Geológico Colombiano y Fundación Global Earthquake Model. https://doi.org/10.32685/9789585279469 Arcila, M., & Muñoz-Martín, A. (2020). Integrated Perspective of the Present-Day Stress and Strain Regime in Colombia from Analysis of Earthquake Focal Mechanisms and Geodetic Data. In The Geology of Colombia (Vol. 4, pp. 549–569). Servicio Geológico Colombiano. https://doi.org/https://doi.org/10.32685/pub.esp.38.2019.17 Barton, N., Lien, R., & Lunde, J. (1974). Engineering classification of rock masses for the design of tunnel support. Rock Mechanics, 6, 189–236. Base, N. (1994). Probabilities and Materials. In Probabilities and Materials. https://doi.org/10.1007/978-94-011-1142-3 Baum, R. L., Savage, W. Z., & Godt, J. W. (2008). TRIGRS — A Fortran Program for Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability Analysis, Version 2.0. U.S. Geological Survey Open-File Report, 2008–1159, 75. Sepúlveda, A., & Patiño Franco, J. (2016). Metodología para la evaluación de riesgo por flujo de detritos detonados por lluvia. Pontificia Universidad Javeriana. Beven, K. J., & Kirkby, M. J. (1979). A physically based, variable contributing area model of basin hydrology. Hydrological Sciences Bulletin, 24(1), 43–69. https://doi.org/10.1080/02626667909491834 Beven, K. J., & Kirkby, M. J. (1979). A physically based, variable contributing area model of basin hydrology. Hydrological Sciences Bulletin, 24(1), 43–69. https://doi.org/10.1080/02626667909491834 Bieniawski, Z. T. (1976). Rock mass classification in rock engineering. Proceedings of the Symposium on Exploration Rock Engineering, Johannesburg, South Africa., 1, 97–106. Bieniawski, Z. T. (1974). Geomechanics classification of rock masses and Its application. Proceedings of the Third International Congress on Rock Mechanics, ISRM, Denver, Col, U.S., 11A, 27–32. Bishop, A. W., & Morgenstern, N. (1960). Stability coefficients for Earth Slopes. Géotechnique, 10(4), 129–153. https://doi.org/https://doi.org/10.1680/geot.1960.10.4.129 Bishop, A. W. (1955). The use of the slip circle in the stability analysis of slopes. Geotechnique, 5(1), 7–17. https://doi.org/10.1680/geot.1955.5.1.7 Bonachea Pico, J. (2006). Desarrollo, aplicación y validación de procedimientos y modelos para la evaluación de amenazas, vulnerabilidad y riesgo debidos a procesos geomorfológicos. In Tesis Doctoral (pp. 45–76). http://www.tesisenred.net/handle/10803/10610 Botero, G. (1963). Contribución al conocimiento de la Geología de la parte central de Antioquia. Anales Facultad de Minas, Medellín, 57–101. Brooks, R. H., & Corey, A. T. (1964). Hydraulic properties of porous media. Hydrology Papers Colorado State University, 3, 1–27. Casadei, M., Dietrich, W. E., & Miller, N. L. (2003). Testing a model for predicting the timing and location of shallow landslide initiation in soil-mantled landscapes. Earth Surface Processes and Landforms, 28(9), 925–950. https://doi.org/10.1002/esp.470 Chow, V. Te, Maidment, D. R., & Mays, L. W. (1988). Applied hydrology. In Applied Hydrology. McGraw-Hill. Clark, C. (2002). Measured and estimated evaporation and soil moisture deficit for growers and the water industry. Meteorological Applications, 9, 95–93. Coates, D. R. (1977). Landslides. Cohen, J. (1960). A Coefficient of Agreement for Nominal Scales. Educational and Psychological Measurement, 20(1), 37–46. https://doi.org/10.1177/001316446002000104 Correa Montaño, I. C., & Hincapie Salazar, L. C. (2010). Caracterización Geológica, Geomorfológica y Zonificación de Amenazas por Fenómenos Asociados a Flujos de Lodo, Avalanchas y Lahares, Para el Plan Parcial El Rosario. 1–101. Coussot, P., & Meunier, M. (1996). Recognition, classification and mechanical description of debris flows. Earth-Science Reviews, 40(3–4), 209–227. https://doi.org/10.1016/0012- 8252(95)00065-8 Crozier, M. J. (2010). Deciphering the effect of climate change on landslide activity: A review. Geomorphology, 124(3–4), 260–267. https://doi.org/10.1016/j.geomorph.2010.04.009 Cruden, D. M., & Varnes, D. J. (1996). Landslide types and processes. In Landslides: Investigation and mitigation (pp. 36–75). Deere, D. U. (1964). Technical Description of Rock Cores for Engineering Purpose. Rock Mechanics and Engineering Geology, 1(1), 17–22. Dietrich, W. E., Reiss, R., Hsu, M., & Montgomery, D. R. (1995). A Process-based model for culluvial soil depth and shallow landsliding using digital elevation data. Hydrological Processes, 9. Diffenbaugh, N. S., & Field, C. B. (2013). Changes in ecologically critical terrestrial climate conditions. Science, 341(August), 486–493. DNP. (2019). Gestión del riesgo de desastres y adaptación al cambio climático en los proyectos de inversión pública. https://www.dnp.gov.co/programas/ambiente/gestion-del-riesgo/Paginas/gestion- del-riesgo.aspx DNP. (2018). 6.7 millones de colombianos están en riesgo por inundaciones, deslizamientos y avalanchas. https://www.dnp.gov.co/Paginas/6,7-millones-de-colombianos-están-en-riesgo-por- inundaciones,-deslizamientos-y-avalanchas.aspx Duncan, J. M., & Wright, S. G. (2005). Soil strenght and slope stability (1st ed.). Wiley. Duque Escobar, G. (2021). Discussion about basin of Q. El Rosario. Duque Escobar, G., & Duque Escobar, E. (2009). Geomecánica de las Laderas de Manizales. Foro: Gestión Del Riesgo Por Inestabilidad Por Terrenos En Manizales. Duque Escobar, G., & Duque Escobar, E. (2010). Túnel Manizales. Conferencia XIII Congreso Colombiano de Geotecnia, SCG-U.N. de Colombia, Manizales, Sep 21 a 23 de 2010. Farrell, D. A., & Larson, W. E. (1972). Modeling the pore structure of porous media. Water Resources Research, 8(3), 699–706. https://doi.org/10.1029/WR008i003p00699 Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861–874. https://doi.org/10.1016/j.patrec.2005.10.010 Fell, R., Corominas, J., Bonnard, C., Cascini, L., Leroi, E., & Savage, W. Z. (2008). Guidelines for landslide susceptibility, hazard and risk zoning for land-use planning. Engineering Geology, 102(3–4), 99–111. https://doi.org/10.1016/j.enggeo.2008.03.014 Fellenius, W. (1936). Calculation of stability of earth dam. Fenton, G. A., & Griffiths, D. V. (2008). Risk Assessment in Geotechnical Engineering. John Wiley & Sons, Inc. https://doi.org/10.1061/9780784480731.024 van Beek, R. (2002). Assessment of the influence of changes in land use and climate on landslide activity in a Mediterranean environment. In Nederlandse Geografische Studies (Issue 294). Van Genuchten, M. T. (1980). A Closed-form Equation for Predicting the Hydraulic Conductivity of Unsaturated Soils. Soil Science Society of America Journal, 44(5), 892–898. https://doi.org/10.2136/sssaj1980.03615995004400050002x Vandromme, R., Thiery, Y., Bernardie, S., & Sedan, O. (2020). ALICE (Assessment of Landslides Induced by Climatic Events): A single tool to integrate shallow and deep landslides for susceptibility and hazard assessment. In Geomorphology (Vol. 367, p. 107307). Elsevier B.V. https://doi.org/10.1016/j.geomorph.2020.107307 Vargas, M. R. (1998). Curvas Sintéticas Regionalizadas de Intensidad-Duración-Frecuencia para Colombia. Universidad de los Andes. Varnes, D. (1978). Slope Movement Types and Processes. Transportation and Road Research Board, National Academy of Science, 176, 11–33. http://onlinepubs.trb.org/Onlinepubs/sr/sr176/176- 002.pdf Vesic, A. S., & Clough, G. W. (1968). Behaviour of Granular Materials Under High Stresses. Journal of the Soil Mechanics and Foundations Division, 94(3). https://doi.org/https://doi.org/10.1061/JSFEAQ.0001134 Wuebbles, D. J., Fahey, D. W., Hibbard, K. A., DeAngelo, B., Doherty, S., Hayhoe, K., Horton, R., Kossin, J. P., Taylor, P. C., Waple, A. M., & Yohe, C. P. (2017). Executive summary. Climate Science Special Report: Fourth National Climate Assessment, Volume I. https://doi.org/10.7930/J0DJ5CTG Xie, M., Esaki, T., & Cai, M. (2004). A time-space based approach for mapping rainfall-induced shallow landslide hazard. Environmental Geology, 46(6–7), 840–850. https://doi.org/10.1007/s00254-004-1069-1 Xie, M., Esaki, T., & Cai, M. (2004). A GIS-based method for locating the critical 3D slip surface in a slope. Computers and Geotechnics, 31(4), 267–277. https://doi.org/10.1016/j.compgeo.2004.03.003 Xie, M., Esaki, T., Qiu, C., & Wang, C. (2006). Geographical information system-based computational implementation and application of spatial three-dimensional slope stability analysis. Computers and Geotechnics, 33(4–5), 260–274. https://doi.org/10.1016/j.compgeo.2006.07.003 Xie, M., Esaki, T., & Zhou, G. (2004). GIS-based probabilistic mapping of landslide hazard using a three-dimensional deterministic model. Natural Hazards, 33(2), 265–282. https://doi.org/10.1023/B:NHAZ.0000037036.01850.0d Xie, M., Esaki, T., Zhou, G., & Mitani, Y. (2003). Three-dimensional stability evaluation of landslides and a sliding process simulation using a new geographic information systems component. Environmental Geology, 43(5), 503–512. https://doi.org/10.1007/s00254-002-0655-3
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dc.format.extent.spa.fl_str_mv	227 páginas
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dc.coverage.city.spa.fl_str_mv	Manizales
dc.publisher.spa.fl_str_mv	Universidad Nacional de Colombia
dc.publisher.program.spa.fl_str_mv	Bogotá - Ingeniería - Maestría en Ingeniería - Geotecnia
dc.publisher.department.spa.fl_str_mv	Departamento de Ingeniería Civil y Agrícola
dc.publisher.faculty.spa.fl_str_mv	Facultad de Ingeniería
dc.publisher.place.spa.fl_str_mv	Bogotá, Colombia
dc.publisher.branch.spa.fl_str_mv	Universidad Nacional de Colombia - Sede Bogotá
institution	Universidad Nacional de Colombia
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spelling	Atribución-NoComercial-SinDerivadas 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Rodríguez Pineda, Carlos Eduardob954af0360b40e5197ca64222afcdc8cGrajales García, Jhon Alexanderde66b8618c61b91a0a73c475bcad1470Grupo de Investigación en Geotecnia Gigun2021-12-10T17:15:39Z2021-12-10T17:15:39Z2021-12-07https://repositorio.unal.edu.co/handle/unal/80771Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/ilustraciones, gráficas, tablasThere are several manners of doing maps according to the hazard assessment of mass movements in watersheds. However, physical-based methods are popular since they might catch many physical and mechanical characteristics of the sliding mass. Now, it is often that many physical-based methods- PBMs- are applied only in one mass movement, this is not enough for risk-informed decision-making at large scales. Which is why it is paramount to select a PMB whose main method could be applied for several mass movement types. This project is applied in a Colombian basin in which hazard maps have been done in the past, using knowledge-driven and data-driven methods that did not capture the instability of the slopes as a systemic process. To solve this issue, the French Geological Survey, BRGM, developed a software tool that can detect three types of mass movements, resulting in a better hazard assessment estimation. Most of the income data was developed by the author using different methodologies for developing geotechnical-geological models at a large scale, as well as methods of climatic triggering factors for landslides. This project concluded that, despite of the efforts for mapping areas that are prone to landslide activity using physical based methods, the existing information nowadays is not enough for these methods to overcome other types of methods that are highly related to the amount of information available. However, it is expected that further developments in the industry enhance the quantity and quality of information so physical based methods become more productive as more information becomes available.Actualmente hay muchas formas de realizar mapas de evaluación de amenaza por movimientos en masa a nivel de cuencas. Sin embargo, los métodos mecánicos son populares dado que pueden capturar características físicas y mecánicas de la masa que se desliza que otros métodos no pueden. Ahora bien, algunas veces se piensa que estos métodos solo se aplican a escala de detalle y esto no es suficiente para la toma de decisiones con respecto al riesgo por deslizamiento a mayores escalas. Esta es la razón por la cual es importante seleccionar un método mecánico, PBM, el cual pueda ser aplicado a muchos tipos de movimiento en masa de manera paralela. Este proyecto es aplicado en una cuenca Colombiana en la cual se han realizado mapas de amenaza por deslizamiento utilizando métodos basados en datos y conocimiento, los cuales no capturan la inestabilidad de las laderas de forma sistémica. Para resolver este problema, el Servicio Geológico Francés, BRGM, desarrolló un software el cual puede capturar tres tipos de movimientos en masa dando como resultado una mejor estimación de la evaluación de amenaza. La mayoría de los datos utilizados para este proyecto fueron desarrollados por el autor utilizando diferentes metodologías para obtener modelos geológico-geotécnicos a gran escala, así como métodos que incorporan el clima como un factor desencadenante de deslizamientos. Este proyecto concluye que, a pesar de los esfuerzos para zonificar áreas propensas a los procesos de deslizamientos a través de PBM, la información existente actualmente no es suficiente para estos métodos mecánicos y así superar otros tipos de metodologías las cuales están altamente relacionadas con la cantidad de información disponible. Sin embargo, se espera que futuros desarrollos en la industria mejoren la cantidad y calidad de la información de detalle de manera tal que los métodos mecánicos sean mas productivos a medida que esta información esté disponible. (Texto tomado de la fuente).Incluye anexosMaestríaMagíster en Ingeniería - GeotecniaRisk and reliability analysis associated to geotechnical environments227 páginasapplication/pdfapplication/vnd.ms-powerpointengUniversidad Nacional de ColombiaBogotá - Ingeniería - Maestría en Ingeniería - GeotecniaDepartamento de Ingeniería Civil y AgrícolaFacultad de IngenieríaBogotá, ColombiaUniversidad Nacional de Colombia - Sede Bogotá620 - Ingeniería y operaciones afines::624 - Ingeniería civilGeophysical predictionCouleesPredicciones geofísicasCañadasHazardMappingLandslidesMass movementsAmenazaZonificaciónDeslizamientosMovimientos en masaDeslizamiento de tierraLandslidesLandslide hazard assessment by climatic events in the basin of Quebrada El Rosario – Manizales using application ALICE ®Evaluación de amenaza por deslizamiento por eventos climáticos en la cuenca de la Quebrada El Rosario - Manizales, usando la aplicación ALICE ®Trabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMManizalesÁlvarez, A. J. (1983). Geología de la Coordillera Central y el Occidente Colombiano y Petroquímica de los Intrusivos Granitoides Mesocenozoicos. Boletín Geológico - Ingeominas, 26(2), 1–175.APA. (2020). Publication Manual of the American Psychological Association. In The International Journal for Research in Education (7th ed., Vol. 44, Issue 3). American Psychological Association. https://doi.org/10.36771/ijre.44.3.20-pp352-356Arcila, M. M., García, J., Montejo, J. S., Eraso, J. F., Valcárcel, J. A., Mora, M. G., Viganò, D., Pagani, M., & Díaz, F. (2020). Modelo nacional de amenaza sísmica para Colombia. In Modelo nacional de amenaza sísmica para Colombia. Servicio Geológico Colombiano y Fundación Global Earthquake Model. https://doi.org/10.32685/9789585279469Arcila, M., & Muñoz-Martín, A. (2020). Integrated Perspective of the Present-Day Stress and Strain Regime in Colombia from Analysis of Earthquake Focal Mechanisms and Geodetic Data. In The Geology of Colombia (Vol. 4, pp. 549–569). Servicio Geológico Colombiano. https://doi.org/https://doi.org/10.32685/pub.esp.38.2019.17Barton, N., Lien, R., & Lunde, J. (1974). Engineering classification of rock masses for the design of tunnel support. Rock Mechanics, 6, 189–236.Base, N. (1994). Probabilities and Materials. In Probabilities and Materials. https://doi.org/10.1007/978-94-011-1142-3Baum, R. L., Savage, W. Z., & Godt, J. W. (2008). TRIGRS — A Fortran Program for Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability Analysis, Version 2.0. U.S. Geological Survey Open-File Report, 2008–1159, 75.Sepúlveda, A., & Patiño Franco, J. (2016). Metodología para la evaluación de riesgo por flujo de detritos detonados por lluvia. Pontificia Universidad Javeriana.Beven, K. J., & Kirkby, M. J. (1979). A physically based, variable contributing area model of basin hydrology. Hydrological Sciences Bulletin, 24(1), 43–69. https://doi.org/10.1080/02626667909491834Beven, K. J., & Kirkby, M. J. (1979). A physically based, variable contributing area model of basin hydrology. Hydrological Sciences Bulletin, 24(1), 43–69. https://doi.org/10.1080/02626667909491834Bieniawski, Z. T. (1976). Rock mass classification in rock engineering. Proceedings of the Symposium on Exploration Rock Engineering, Johannesburg, South Africa., 1, 97–106.Bieniawski, Z. T. (1974). Geomechanics classification of rock masses and Its application. Proceedings of the Third International Congress on Rock Mechanics, ISRM, Denver, Col, U.S., 11A, 27–32.Bishop, A. W., & Morgenstern, N. (1960). Stability coefficients for Earth Slopes. Géotechnique, 10(4), 129–153. https://doi.org/https://doi.org/10.1680/geot.1960.10.4.129Bishop, A. W. (1955). The use of the slip circle in the stability analysis of slopes. Geotechnique, 5(1), 7–17. https://doi.org/10.1680/geot.1955.5.1.7Bonachea Pico, J. (2006). 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A GIS-based method for locating the critical 3D slip surface in a slope. Computers and Geotechnics, 31(4), 267–277. https://doi.org/10.1016/j.compgeo.2004.03.003Xie, M., Esaki, T., Qiu, C., & Wang, C. (2006). Geographical information system-based computational implementation and application of spatial three-dimensional slope stability analysis. Computers and Geotechnics, 33(4–5), 260–274. https://doi.org/10.1016/j.compgeo.2006.07.003Xie, M., Esaki, T., & Zhou, G. (2004). GIS-based probabilistic mapping of landslide hazard using a three-dimensional deterministic model. Natural Hazards, 33(2), 265–282. https://doi.org/10.1023/B:NHAZ.0000037036.01850.0dXie, M., Esaki, T., Zhou, G., & Mitani, Y. (2003). Three-dimensional stability evaluation of landslides and a sliding process simulation using a new geographic information systems component. 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Landslide hazard assessment by climatic events in the basin of Quebrada El Rosario – Manizales using application ALICE ®

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